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, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. Carry out original research, including adapting existing and
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. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
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the aggregation intervals are adjusted to reflect intrinsic demand-supply patterns, price volatility, and grid conditions. Methodologically, this requires the development of adaptive algorithms and statistical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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research has been funded by multiple NIH R01 grants and industry grants with awards from AAPM and ASTRO. Dr. Ren is a Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https